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A User’s Guide to Network Analysis in R

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Publication:2944950
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DOI10.1007/978-3-319-23883-8zbMath1337.92002OpenAlexW2346608502MaRDI QIDQ2944950

Douglas A. Luke

Publication date: 8 September 2015

Published in: Use R! (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-23883-8


zbMATH Keywords

Rgraphscliquesnetwork analysisnetwork visualizationexponential random graph modelchord diagramsErdős-Rényi random graph modelscale-free modelsmall-world modelrandom network modelsdynamic network model\(k\)-coresaffiliation networkarc diagramsnetwork data structureprominence for undirected networks


Mathematics Subject Classification ID

Applications of graph theory (05C90) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to biology (92-01) Software, source code, etc. for problems pertaining to biology (92-04) Systems biology, networks (92C42)


Related Items (2)

Estimation of Subgraph Densities in Noisy Networks ⋮ Optimal lock-down intensity: a stochastic pandemic control approach of path integral


Uses Software

  • R
  • ggplot2
  • ergm
  • statnet
  • RSiena
  • network



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